Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GREGAARD Jonas | 66 |
| 7 | HOELGAARD Markus | 74 |
| 8 | HAGEN Carl Fredrik | 65 |
| 9 | JENSEN August | 67 |
| 10 | RIESEBEEK Oscar | 78 |
| 12 | VINTHER Troels Rønning | 68 |
| 18 | MANNINEN Matti | 70 |
| 20 | SCHULTZ Jesper | 60 |
| 22 | WILMANN Frederik | 69 |
| 24 | ABRAHAMSEN Jonas | 78 |
| 26 | SLEEN Torjus | 65 |
| 27 | TILLER Rasmus | 84 |
| 29 | MADSEN Martin Toft | 67 |
| 31 | TRÆEN Torstein | 63 |
| 32 | FOSS Tobias | 74 |
| 33 | AASVOLD Kristian | 61 |
| 37 | KRUL Stef | 68 |